{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from glob import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "sns.set_context('paper')\n",
    "sns.set_style('white')\n",
    "\n",
    "def load(dataset, metric='test_acc'):\n",
    "    df = pd.read_csv(f\"../results/finetuning_results_{dataset}_{metric}.csv\")\n",
    "    df.loc[:, \"model\"]= df.apply(lambda d:d.pretrained_model.split(\"_\")[-1], axis=1)\n",
    "    df.loc[:, \"pretraining_dataset\"]= df.apply(lambda d:'_'.join(d.pretrained_model.split(\"_\")[:-1]), axis=1)\n",
    "    df = df.drop_duplicates(subset=[\"model\", \"pretraining_dataset\", \"shot\", \"seed\"], keep='last') # remove redundant metric reports due to resume\n",
    "    df.metric_value *= 100\n",
    "    return df\n",
    "\n",
    "def get_color(model):\n",
    "    return {\n",
    "        'imagenet1k_bit50x1': 'skyblue',\n",
    "        'imagenet21k_bit50x1': 'steelblue',\n",
    "        'imagenet1k_bit152x4': 'navajowhite',\n",
    "        'imagenet21k_bit152x4': 'darkorange',\n",
    "\n",
    "        'chexpert_bit50x1': 'lightgreen',\n",
    "        'chexpert_mimic_bit50x1': 'mediumseagreen',\n",
    "        'chexpert_mimic_nih_bit50x1': 'forestgreen',\n",
    "        'chexpert_mimic_nih_padchest_bit50x1': 'darkgreen',\n",
    "\n",
    "        'chexpert_bit152x4': 'pink',\n",
    "        'chexpert_mimic_bit152x4': 'lightcoral',\n",
    "        'chexpert_mimic_nih_bit152x4': 'red',\n",
    "        'chexpert_mimic_nih_padchest_bit152x4': 'darkred',\n",
    "\n",
    "    }[model]\n",
    "\n",
    "def get_dataset_caption(dataset):\n",
    "    return {\n",
    "        'imagenet1k': 'ImageNet-1k',\n",
    "        'imagenet21k': 'ImageNet-21k',\n",
    "        'chexpert': 'CheXpert',\n",
    "        'chexpert_mimic': 'CheXpert-MIMIC',\n",
    "        'chexpert_mimic_nih': 'CheXpert-MIMIC-NIH',\n",
    "        'chexpert_mimic_nih_padchest': 'CheXpert-MIMIC-NIH-PadChest',\n",
    "        \n",
    "        'padchest': 'PadChest-Cl',\n",
    "        'tuberculosis_full': 'Tuberculosis',\n",
    "        'covidx_cxr2': 'COVIDx',\n",
    "        'cifar100': 'CIFAR-100',\n",
    "        'cifar10': 'CIFAR-10',\n",
    "        'flowers': 'Flowers-102',\n",
    "        'flowers_oversampling': 'Flowers-102',\n",
    "        'pneumonia': 'Pneumonia',\n",
    "    }[dataset]\n",
    "\n",
    "def get_model_caption(model):\n",
    "    return {\n",
    "        'bit50x1': 'R50x1',\n",
    "        'bit152x4': 'R152x4',\n",
    "    }[model]\n",
    "\n",
    "def get_caption(data_model):\n",
    "    *data, model = data_model.split('_')\n",
    "    return get_model_caption(model) + ' on ' + get_dataset_caption('_'.join(data))\n",
    "\n",
    "def get_fewshot_caption(fs):\n",
    "    return fs.split('_')[0].capitalize() + ' Shot'\n",
    "\n",
    "def get_metric_caption(metric):\n",
    "    return {\n",
    "        'test_mean_auc': 'Test Mean AUC',\n",
    "        'test_acc': 'Test Accuracy',\n",
    "    }[metric]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "which_plot = 'covidx_cxr2'\n",
    "assert which_plot in ('cifar10','cifar100','pets','flowers_oversampling','covidx_cxr2','padchest','tuberculosis_full')\n",
    "\n",
    "\n",
    "dataset = which_plot\n",
    "metric = 'test_mean_auc' if which_plot == 'padchest' else 'test_acc'\n",
    "captions = True\n",
    "df = load(dataset, metric)\n",
    "fewshot_order = ['1_shot', '5_shot', '10_shot', '100_shot', '500_shot', 'full_shot']\n",
    "order = [fs for fs in fewshot_order if fs in set(df.shot.unique())]\n",
    "captions = False\n",
    "\n",
    "if which_plot in ('cifar10', 'cifar100', 'flowers', 'pets', 'flowers_oversampling'):\n",
    "    hue_order = [\n",
    "        'imagenet1k_bit50x1', \n",
    "        'imagenet21k_bit50x1', \n",
    "        'imagenet1k_bit152x4', \n",
    "        'imagenet21k_bit152x4'\n",
    "    ]\n",
    "elif which_plot == 'covidx_cxr2':\n",
    "    hue_order = [\n",
    "        'chexpert_bit50x1', \n",
    "        'chexpert_mimic_bit50x1', \n",
    "        'chexpert_mimic_nih_bit50x1', \n",
    "        'chexpert_mimic_nih_padchest_bit50x1', \n",
    "\n",
    "        'chexpert_bit152x4', \n",
    "        'chexpert_mimic_bit152x4', \n",
    "        'chexpert_mimic_nih_bit152x4', \n",
    "        'chexpert_mimic_nih_padchest_bit152x4', \n",
    "\n",
    "        'imagenet1k_bit50x1', \n",
    "        'imagenet21k_bit50x1', \n",
    "        'imagenet1k_bit152x4', \n",
    "        'imagenet21k_bit152x4'\n",
    "    ]\n",
    "elif which_plot == 'padchest':\n",
    "    hue_order = [\n",
    "\n",
    "    'chexpert_bit50x1', \n",
    "    'chexpert_mimic_bit50x1', \n",
    "    'chexpert_mimic_nih_bit50x1', \n",
    "\n",
    "    'chexpert_bit152x4', \n",
    "    'chexpert_mimic_bit152x4', \n",
    "    'chexpert_mimic_nih_bit152x4', \n",
    "    \n",
    "    'imagenet1k_bit50x1', \n",
    "    'imagenet21k_bit50x1', \n",
    "    'imagenet1k_bit152x4', \n",
    "    'imagenet21k_bit152x4'\n",
    "]\n",
    "else:\n",
    "    hue_order = [\n",
    "        'chexpert_bit50x1', \n",
    "        'chexpert_mimic_bit50x1', \n",
    "        'chexpert_mimic_nih_bit50x1', \n",
    "        'chexpert_mimic_nih_padchest_bit50x1', \n",
    "\n",
    "        'chexpert_bit152x4', \n",
    "        'chexpert_mimic_bit152x4', \n",
    "        'chexpert_mimic_nih_bit152x4', \n",
    "        'chexpert_mimic_nih_padchest_bit152x4', \n",
    "\n",
    "        'imagenet1k_bit50x1', \n",
    "        'imagenet21k_bit50x1', \n",
    "        'imagenet1k_bit152x4', \n",
    "        'imagenet21k_bit152x4'\n",
    "    ]\n",
    " \n",
    "        \n",
    "palette = [get_color(m) for m in hue_order]\n",
    "fig_height = 10\n",
    "fig_width = 12\n",
    "\n",
    "fig = plt.figure(figsize=(fig_width, fig_height))\n",
    "labels_fontsize = 14\n",
    "axis_labels_fontsize = 15\n",
    "\n",
    "g = sns.barplot(\n",
    "    x='shot', y='metric_value', \n",
    "    hue='pretrained_model', \n",
    "    data=df, \n",
    "    order=order,\n",
    "    hue_order=hue_order,\n",
    "    palette=palette,\n",
    "    capsize=0.01,\n",
    "    edgecolor = 'w',\n",
    "    ci='sd',\n",
    ")\n",
    "\n",
    "if captions:\n",
    "    for p in g.patches:\n",
    "        value = f'{round(p.get_height(), 2)}%'\n",
    "        g.annotate(value, \n",
    "                  (p.get_x() + p.get_width() / 2., p.get_height()), \n",
    "                   ha = 'center', va = 'center', \n",
    "                   xytext = (0, 9), \n",
    "                   textcoords = 'offset points')\n",
    "\n",
    "g.set_xlabel(f\"Shots during transfer\",fontsize=axis_labels_fontsize)\n",
    "g.set_ylabel(get_metric_caption(metric),fontsize=axis_labels_fontsize)\n",
    "\n",
    "g.tick_params(axis=\"x\", labelsize=labels_fontsize)\n",
    "g.tick_params(axis=\"y\", labelsize=labels_fontsize)\n",
    "if which_plot not in ('cifar100',):\n",
    "    g.set_ylim(ymin=30)\n",
    "#g.set_ylim(ymin=35)\n",
    "L = g.legend(title=\"\", prop={'size':13})\n",
    "for i, setup in enumerate(hue_order):\n",
    "    L.get_texts()[i].set_text(get_caption(setup))\n",
    "plt.xticks(ticks=range(len(order)),labels=list(map(get_fewshot_caption, order)))\n",
    "plt.savefig(f\"{which_plot}_barplot.pdf\",dpi = 1000, format = 'pdf', bbox_inches = 'tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Line Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "which_plot = 'covidx_cxr2'\n",
    "assert which_plot in ('cifar10','cifar100','pets','flowers_oversampling','covidx_cxr2','padchest','tuberculosis_full')\n",
    "\n",
    "\n",
    "metric = 'test_mean_auc' if which_plot == 'padchest' else 'test_acc'\n",
    "df = load(which_plot,metric=metric)\n",
    "df = df[df.shot=='full_shot']\n",
    "print(len(df))\n",
    "df['setup'] =  df.apply(lambda d:d.pretraining_dataset+'_'+d.shot, axis=1)\n",
    "\n",
    "if which_plot == 'covidx_cxr2':\n",
    "    hue_order = [\n",
    "        'imagenet1k',\n",
    "        'imagenet21k',\n",
    "        'chexpert', \n",
    "        'chexpert_mimic_nih_padchest', \n",
    "    ]\n",
    "elif which_plot == 'padchest':\n",
    "    hue_order = [\n",
    "        'imagenet1k',\n",
    "        'imagenet21k',\n",
    "        'chexpert', \n",
    "        'chexpert_mimic_nih', \n",
    "    ]\n",
    "elif which_plot in ('cifar10', 'cifar100', 'flowers', 'pets'):\n",
    "    hue_order = ['imagenet1k', 'imagenet21k']\n",
    "else:\n",
    "    hue_order = [\n",
    "        'imagenet1k',\n",
    "        'imagenet21k',\n",
    "        'chexpert', \n",
    "        'chexpert_mimic_nih_padchest', \n",
    "    ]\n",
    "\n",
    "    \n",
    "palette = [\n",
    "    'mediumseagreen',\n",
    "    'darkgreen',\n",
    "    'lightcoral',\n",
    "    'darkred',\n",
    "]\n",
    "palette = palette[:len(hue_order)]\n",
    "df = df[df.pretraining_dataset.isin(hue_order)]\n",
    "model_order = ['bit50x1', 'bit152x4']\n",
    "def key(s):\n",
    "    return s.apply(lambda si:str(model_order.index(si)))\n",
    "df = df.sort_values(by='model', key=key)\n",
    "\n",
    "fig_height = 8\n",
    "fig_width = 10\n",
    "\n",
    "fig = plt.figure(figsize=(fig_width, fig_height))\n",
    "labels_fontsize = 14\n",
    "axis_labels_fontsize = 15\n",
    "legend_fontsize = 13\n",
    "legent_title_fontsize = legend_fontsize\n",
    "\n",
    "ax = sns.lineplot(\n",
    "    x='model',\n",
    "    y='metric_value',\n",
    "    data=df,\n",
    "    hue='pretraining_dataset',\n",
    "    sort=False,\n",
    "    marker='o',\n",
    "    ci='sd',\n",
    "    err_style='bars',\n",
    "    hue_order=hue_order,\n",
    "    palette=palette,\n",
    "    linewidth=2,\n",
    ")\n",
    "ax.set_xlabel(\"Pre-training Model architecture\",fontsize=axis_labels_fontsize)\n",
    "ax.set_ylabel(get_metric_caption(metric),fontsize=axis_labels_fontsize)\n",
    "\n",
    "ax.tick_params(axis=\"x\", labelsize=labels_fontsize)\n",
    "ax.tick_params(axis=\"y\", labelsize=labels_fontsize)\n",
    "\n",
    "L = ax.legend(prop={'size':legend_fontsize})\n",
    "L.set_title('Pre-training dataset',prop={'size': legent_title_fontsize})\n",
    "for i, setup in enumerate(hue_order):\n",
    "    L.get_texts()[i].set_text(get_dataset_caption(setup))\n",
    "plt.xticks(ticks=range(len(model_order)),labels=list(map(get_model_caption, model_order)))\n",
    "plt.savefig(f\"{which_plot}_lineplot.pdf\",dpi = 1000, format = 'pdf', bbox_inches = 'tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Few-shot line plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "which_plot = 'covidx_cxr2'\n",
    "assert which_plot in ('cifar10','cifar100','pets','flowers_oversampling','covidx_cxr2','padchest','tuberculosis_full')\n",
    "which_pretraining = 'medical'\n",
    "assert which_pretraining in ('natural', 'medical')\n",
    "\n",
    "metric = \"test_mean_auc\" if which_plot == 'padchest' else 'test_acc'\n",
    "df = load(which_plot,metric=metric)\n",
    "df['setup'] =  df.apply(lambda d:d.pretraining_dataset+'_'+d.model, axis=1)\n",
    "\n",
    "df = df.rename({\n",
    "    'setup': 'Model'\n",
    "}, axis=1)\n",
    "\n",
    "fewshot_order = ['1_shot','5_shot','10_shot', '100_shot', '500_shot', 'full_shot']\n",
    "fewshot_order = [fs for fs in fewshot_order if fs in set(df.shot.unique())]\n",
    "\n",
    "def key(s):\n",
    "    return s.apply(lambda si:str(fewshot_order.index(si)))\n",
    "df = df.sort_values(by='shot', key=key)\n",
    "\n",
    "fig_height = 8\n",
    "fig_width = 10\n",
    "\n",
    "fig = plt.figure(figsize=(fig_width, fig_height))\n",
    "labels_fontsize = 14\n",
    "axis_labels_fontsize = 15\n",
    "legend_fontsize = 13\n",
    "legent_title_fontsize = legend_fontsize\n",
    "\n",
    "if which_pretraining == 'medical':\n",
    "    if which_plot == 'padchest':\n",
    "        hue_order = [\n",
    "            'chexpert_bit50x1', \n",
    "            'chexpert_mimic_nih_bit50x1', \n",
    "            'chexpert_bit152x4', \n",
    "            'chexpert_mimic_nih_bit152x4',\n",
    "        ]\n",
    "    else:\n",
    "        hue_order = [\n",
    "            'chexpert_bit50x1', \n",
    "            'chexpert_mimic_nih_padchest_bit50x1', \n",
    "            'chexpert_bit152x4', \n",
    "            'chexpert_mimic_nih_padchest_bit152x4',\n",
    "        ]\n",
    "elif which_pretraining == 'natural':\n",
    "    hue_order = [\n",
    "        'imagenet1k_bit50x1',\n",
    "        'imagenet21k_bit50x1',\n",
    "        'imagenet1k_bit152x4',\n",
    "        'imagenet21k_bit152x4',\n",
    "    ]\n",
    "\n",
    "palette = [get_color(m) for m in hue_order]\n",
    "\n",
    "ax = sns.lineplot(\n",
    "    x='shot',\n",
    "    y='metric_value',\n",
    "    data=df,\n",
    "    hue='Model',\n",
    "    sort=False,\n",
    "    marker='o',\n",
    "    ci='sd',\n",
    "    err_style='bars',\n",
    "    hue_order=hue_order,\n",
    "    palette=palette,\n",
    "    linewidth=2,\n",
    "    #legend=False,\n",
    "    #order=['bit_50x1', 'bit_152x4']\n",
    ")\n",
    "\n",
    "ax.set_xlabel(f\"Shots during transfer\",fontsize=axis_labels_fontsize)\n",
    "ax.set_ylabel(get_metric_caption(metric),fontsize=axis_labels_fontsize)\n",
    "\n",
    "ax.tick_params(axis=\"x\", labelsize=labels_fontsize)\n",
    "ax.tick_params(axis=\"y\", labelsize=labels_fontsize)\n",
    "\n",
    "L = ax.legend(prop={'size':legend_fontsize})\n",
    "L.set_title('Model',prop={'size': legent_title_fontsize})\n",
    "\n",
    "for i, setup in enumerate(hue_order):\n",
    "    L.get_texts()[i].set_text(get_caption(setup))\n",
    "    \n",
    "plt.xticks(ticks=range(len(fewshot_order)),labels=list(map(get_fewshot_caption, fewshot_order)))\n",
    "plt.savefig(f\"{which_plot}_fewshot_from_{which_pretraining}.pdf\",dpi = 1000, format = 'pdf', bbox_inches = 'tight')\n",
    "\n",
    "plt.show()"
   ]
  }
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